Statistics with R - University of Notre Dame

Examining A Single Variable

Statistical Hypothesis Testing

Statistics with R

Hypothesis testing and distributions

Steven Buechler

Department of Mathematics

276B Hurley Hall; 1-6233

Fall, 2007

Examining A Single Variable

Statistical Hypothesis Testing

How do we study vectors?

Readings across a population

How do we find patterns in accumulated readings of a single

variable?

? For a categorical variable, what is the distribution of values?

? If it¡¯s a continuous variable is it normally distributed?

? Are there phenotypic subsets where the distributions are

different? How can we test this?

Examining A Single Variable

Statistical Hypothesis Testing

How do we study vectors?

Readings across a population

How do we find patterns in accumulated readings of a single

variable?

? For a categorical variable, what is the distribution of values?

? If it¡¯s a continuous variable is it normally distributed?

? Are there phenotypic subsets where the distributions are

different? How can we test this?

Examining A Single Variable

Statistical Hypothesis Testing

How do we study vectors?

Readings across a population

How do we find patterns in accumulated readings of a single

variable?

? For a categorical variable, what is the distribution of values?

? If it¡¯s a continuous variable is it normally distributed?

? Are there phenotypic subsets where the distributions are

different? How can we test this?

Examining A Single Variable

Statistical Hypothesis Testing

Examining Categorical Data

With categorical data about all you can do is examine the

frequency table:

> f table(f)

f

A B C

6 4 8

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